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uncertainty in material properties, and integrate these capabilities into a multi-disciplinary optimisation framework. You will develop computational tools that link aeroelastic analysis with structural sizing
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equipment for tomographic PIV, and large scale measurements in wind tunnels and in the field. The research activity aims at high scientific profile, with and attention to the transfer and application
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related field, to contribute to the ERC Proof of Concept project LDL-ACT. LDL-ACT builds on FastBio, a multi-omics study that investigates the molecular impact of dietary restriction in humans. LDL-ACT aims
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explore how ecological changes around individual turbines scale up to whole wind farm ecosystems and contribute to improving the next generation of ecosystem models used for environmental policy and
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binary contrastive notions. By embedding compositional structure and prior knowledge into the training process, the project aims to break the dependency on uncontrolled large-scale datasets and enable
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How does the microbiome surrounding a plant determine whether a pathogen can successfully invade? And can we predict disease outcomes from microbiome composition and plant phenotypes? Join us as a
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strengthen multi-time scale controller coordination between Automatic Voltage Regulators (AVRs) and power electronic converters, enhancing resilience and adaptive control to improve system stability under
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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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for miniaturization. However, the physical properties, magnetic configuration, chemical composition and roughness at the interfaces of such FE/FM/SC heterostructures are still largely unknown and
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the practical deployment of rechargeable iron–air batteries in future large-scale energy storage applications. As a PhD researcher, you will investigate the relationships between electrode composition